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Computational model for supporting SHM systems design: Damage identification via numerical analyses

机译：支持SHM系统设计的计算模型：通过数值分析识别损伤

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摘要

This work presents a computational model to simulate thin structures monitored by piezoelectric sensors in order to support the design of SHM systems, which use vibration based methods. Thus, a new shell finite element model was proposed and implemented via a User ELement subroutine (UEL) into the commercial package ABAQUS™. This model was based on a modified First Order Shear Theory (FOST) for piezoelectric composite laminates. After that, damaged cantilever beams with two piezoelectric sensors in different positions were investigated by using experimental analyses and the proposed computational model. A maximum difference in the magnitude of the FRFs between numerical and experimental analyses of 7.45% was found near the resonance regions. For damage identification, different levels of damage severity were evaluated by seven damage metrics, including one proposed by the present authors. Numerical and experimental damage metrics values were compared, showing a good correlation in terms of tendency. Finally, based on comparisons of numerical and experimental results, it is shown a discussion about the potentials and limitations of the proposed computational model to be used for supporting SHM systems design.
机译：这项工作提出了一个计算模型来模拟由压电传感器监测的薄结构，以支持SHM系统的设计，该系统使用基于振动的方法。因此，提出了一种新的壳体有限元模型，并通过用户ELement子例程（UEL）将其实现到商业软件包ABAQUS™中。该模型基于修改后的一阶剪切理论（FOST），用于压电复合材料层压板。之后，通过实验分析和所提出的计算模型，研究了两个位置不同的压电传感器的悬臂梁损坏情况。在共振区域附近，数值分析和实验分析之间的FRF幅度最大差异为7.45％。对于损害识别，通过七个损害度量标准评估了不同程度的损害严重性，其中包括本作者提出的一个度量标准。比较了数值和实验损伤度量值，显示出趋势上的良好相关性。最后，在数值和实验结果的比较基础上，讨论了所提出的用于支持SHM系统设计的计算模型的潜力和局限性。

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  • 来源
    《Mechanical systems and signal processing》 |2017年第ptaa期|445-461|共17页
  • 作者

    Murilo Sartorato; Ricardo de Medeiros; Dirk Vandepitte; Volnei Tita;

  • 作者单位

    Department of Aeronautical Engineering, Sao Carlos School of Engineering, University of Sao Paulo, Av. Joao Dagnone, 1100,13573-120 Sao Carlos, SP, Brazil;

    Department of Aeronautical Engineering, Sao Carlos School of Engineering, University of Sao Paulo, Av. Joao Dagnone, 1100,13573-120 Sao Carlos, SP, Brazil,KU Leuven, Department of Mechanical Engineering - PMA Division, Celestijnenlaan 300 B, B-3001 Heverlee, Belgium,UDESC, Santa Catarina State University, Department of Mechanical Engineering, Rua Paulo Malschitzki, 200, 89.219-710, Joinville, Santa Catarina, Brazil;

    KU Leuven, Department of Mechanical Engineering - PMA Division, Celestijnenlaan 300 B, B-3001 Heverlee, Belgium;

    Department of Aeronautical Engineering, Sao Carlos School of Engineering, University of Sao Paulo, Av. Joao Dagnone, 1100,13573-120 Sao Carlos, SP, Brazil;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Structural health monitoring; Finite element analyses; Piezoelectric sensors; Damage identification;

    机译：结构健康监测;有限元分析;压电传感器;损坏识别;

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